Senior Data Modeler Jobs in Bothell, WA (NOW HIRING)

Company:

We are looking for an experienced and technically proficient Senior Data Scientist specializing in Generative AI (GenAI) to drive the development and optimization of advanced GenAI models within BDS. This role requires a strong background in machine learning and large language models (LLMs) and offers the chance to lead projects that shape AI-driven applications. This role is in Seattle, WA or Arlington, VA.

Key Responsibilities:

• Lead the development and deployment of advanced GenAI models, including LLMs and multi-modal systems.
• Design and implement robust pipelines for model fine-tuning and evaluation.
• Develop and evaluate prompt engineering strategies and embedding techniques.
• Prototype and productionize GenAI applications that solve complex business problems.
• Own model performance evaluation and bias/fairness assessments to ensure ethical deployment.
• Collaborate with MLOps and engineering teams to scale model inference and monitor performance.
• Provide insights on GenAI strategy, tools, and industry trends to the team.
• Mentor junior and mid-level data scientists and contribute to team development.

This position is Hybrid Role. The selected candidate will be required to work on-site at one of the listed location options.

This position is for 1st shift.

This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):

• Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
• 5+ years of experience in deep learning frameworks
• 1+ year of experience fine-tuning open-source LLMs and integrating APIs from commercial providers.
• 5+ years of programming experience in Python, and experience with data engineering workflows (e.g., Spark, Airflow, SQL]

Preferred Qualifications (Desired Skills/Experience):

• Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
• Experience fine-tuning open-source models and integrating APIs from commercial providers.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience in AI ethics and governance in generative models.
• Experience with data engineering tools (e.g., SQL, Spark

Typical Education/Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience, 9 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Travel:

Position may require travel up to 10% of the time.

Drug Free Workplace:

Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

$173,400-$234,600

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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